Using Multivariate Statistics, 7th edition

Published by Pearson (July 14, 2021) © 2019

  • Barbara G. Tabachnick California State University - Northridge
  • Linda S. Fidell California State University - Northridge
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For advanced undergraduate and graduate statistics courses.

An in-depth introduction to today's most commonly used statistical and multivariate techniques. Using Multivariate Statistics, 7th Edition presents complex statistical procedures in a way that is maximally useful and accessible to researchers who may not be statisticians. The authors' practical approach focuses on the benefits and limitations of applying a technique to a data set - when, why, and how to do it. Only a limited knowledge of higher-level mathematics is assumed. Students using this text will learn to conduct numerous types of multivariate statistical analyses; find the best technique to use; understand limitations to applications; and learn how to use SPSS and SAS syntax and output.

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Preview sample pages from Using Multivariate Statistics >

  1. Introduction
  2. A Guide to Statistical Techniques: Using the Book
  3. Review of Univariate and Bivariate Statistics
  4. Cleaning Up Your Act: Screening Data Prior to Analysis
  5. Multiple Regression
  6. Analysis of Covariance
  7. Multivariate Analysis of Variance and Covariance
  8. Profile Analysis: The Multivariate Approach to Repeated Measures
  9. Discriminant Analysis
  10. Logistic Regression
  11. Survival/Failure Analysis
  12. Canonical Correlation
  13. Principal Components and Factor Analysis
  14. Structural Equation Modeling by Jodie B. Ullman
  15. Multilevel Linear Modeling
  16. Multiway Frequency Analysis
  17. Time-Series Analysis
  18. An Overview of the General Linear Model

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